across distributed systems. High-performance querying for analytics, search, and AI workloads at scale. SQL simplicity to unify access across divers data types, reducing complexity in querying distributed datasets execute complex queries on very large data sets in the sub-second range. All with the simplicity of SQL. Optimizing for AI & Search is Difficult Optimizing for both structured analytics, full-text search complexity, storage costs, and maintenance overhead by consolidating disparate systems. The native SQL support also makes it simple to use as it provides a single and easy way to query the data. 4. Why

technology under the sun  Solaris, Windows, Linux  Apache, IIS, TCServer, etc.  Oracle, DB2, SQL Server  How we got better  We read and we studied.  Created a self-improvement project  2 week

一个类 函数宏例子是可以像这样被调用的 sql! 宏： let sql = sql!(SELECT * FROM posts WHERE id=1); 这个宏会解析其中的 SQL 语句并检查其是否是句法正确的，这是比 macro_rules! 可以做到的 更为复杂的处理。sql! 宏会被定义为类似如此： #[proc_macro] pub fn sql(input: TokenStream)

Azure AI Foundry expansion • NLWeb • Model Context Protocol (MCP) integration • Entra Agent ID • SQL Server 2025 • Windows Subsystem for Linux Open- Source • GitHub Copilot Chat Extension • Aurora

missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 20.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details.CHAPTER 37. FREQUENTLY ASKED

missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 20.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details.CHAPTER 37. FREQUENTLY ASKED

missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the

missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the

missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the

missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the